This disclosure relates to a system and method for determining vehicle operator preparedness for vehicles that support both autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to vehicles and their operation. During autonomous vehicle operation, the system gauges the level of responsiveness of an individual vehicle operator through challenges and corresponding responses. Based on the level of responsiveness, a preparedness metric is determined for each vehicle operator individually.

Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.

A driving control method can be performed by a host vehicle. The method includes checking a target vehicle driving around the host vehicle, requesting information sharing from the target vehicle, inquiring about presence of an emergency risk avoidance driving rule and a type thereof when the information sharing with the target vehicle is allowed, and forming a cluster group for driving when the target vehicle sharing the information and the host vehicle have the same emergency risk avoidance driving rule.

An autonomous driving system includes a control device and a request input device. The control device executes one or more controls of a vehicle including an autonomous traveling control. The request input device sends various requests to the control device by a human operation. The control device executes, during execution of the autonomous traveling control, a process for determining whether an operator who operates the request input device is a qualified person. Then, the control device approves the request when the operator is a qualified person, and disapproves the request when the operator is not a qualified person.

A vehicle control system controls a vehicle including a stop switch. A recognition sensor is configured to recognize a situation around the vehicle. The vehicle control system executes vehicle traveling control for generating a target trajectory of the vehicle based on a recognition result by the recognition sensor and executing control such that the vehicle follows the target trajectory. The vehicle control system executes the evacuation control that is the vehicle traveling control for evacuating the vehicle to the target position in a case where the vehicle traveling control is normal when the stop switch is pressed. The vehicle control system executes deceleration-and-stop control for decelerating the vehicle to stop the vehicle without using the target trajectory in a case where the vehicle traveling control is abnormal when the stop switch is pressed.

A vehicle control system predicts danger to be avoided by a vehicle based on information related to a surrounding environment of the vehicle. When the danger is predicted, the vehicle control system determines whether an autonomous driving system rejects intervention in autonomous driving, and performs a diagnosis as to whether the autonomous driving system is normal or abnormal. Further, the vehicle control system performs the intervention in the autonomous driving to avoid the predicted danger when the autonomous driving system does not reject the intervention in the autonomous driving or when the autonomous driving system is abnormal even when the autonomous driving system rejects the intervention in the autonomous driving. However, the vehicle control system stops the intervention in the autonomous driving when the autonomous driving system rejects the intervention in the autonomous driving in a state where the autonomous driving system is normal.

Systems and methods for controlling an autonomous vehicle in response to vehicle instructions from a remote computing system are provided. In one example embodiment, a computer-implemented method includes controlling a first autonomous vehicle to provide a vehicle service, the first autonomous vehicle being associated with a first convoy that includes one or more second autonomous vehicles. The method includes receiving one or more communications from a remote computing system associated with a third-party entity, the one or more communications including one or more vehicle instructions. The method includes coordinating with the one or more second autonomous vehicles to determine one or more vehicle actions to perform in response to receiving the one or more vehicle instructions from the third-party entity. The method includes controlling the first autonomous vehicle to implement the one or more vehicle actions.

The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.

An operation management system includes an automatic traveling vehicle and a management server. The vehicle includes a first processor, and is configured to transport at least one of people or luggage. The management server includes a second processor, and is configured to communicate with the vehicle and manage the operation thereof. The first processor or second processor is configured to: determine whether there is a transport task in which the vehicle transports at least one of people or luggage; and, when there is no transport task, execute a task switching process of causing the vehicle to execute any one of a patrol task in which the vehicle performs a patrol of an operating area of the vehicle, a cleaning task in which the vehicle performs a cleaning of the operating area, and a patrol cleaning task in which the vehicle performs both the patrol and the cleaning.

A driving support apparatus for supporting the driving of a vehicle includes: a boundary estimation part for outputting magnetic waves or ultrasonic waves to the periphery of a vehicle, and for estimating the boundary of a roadway based on reflected waves which are detected by a sensor for detecting the reflected waves; a detection part for detecting a mobile body based on the reflected waves which are detected by the sensor; and a region estimation part for estimating a progress region of the object vehicle which is moving in an adjacent lane when this detection part detects the mobile body generated by multiplexed reflections from an object vehicle which is actually moving in the adjacent lane.